گازیوروسکی، علیرغم همهی انتقاداتی که به حق بهش وارده، پژوهشگر کمنظیریه. روایتهاش از کودتای نوژه، ۲۸ مرداد و سالهای ابتدایی انقلاب عمدتاً مبتنی بر دادههای دست اوله که از طریق مصاحبه با مأموران بازنشستهی CIA، کارگزاران دولتی ایران و سایر اشخاص مرتبط به دست اومده. با وجود اینکه برخی، ازجمله آبراهامیان، گازیوروسکی رو تاریخنگار revisionist خطاب میکنن و معتقدن که این تاریخنگاران همچنان در پارادایم «جنگ سرد» روابط…

Channel
میخ (ریشهدار شدن)
@mikhsociology
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
231subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002789369487 |
|---|---|
| Type | Channel |
| Username | @mikhsociology |
| Description | سیاست، سینما و زندگی به روایت جامعهشناسی (علیرضا اسکندرینژاد) |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/mikhsociology |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 10:15 | 231 | no change |
| 7 Aug 2026, 19:08 | 231 | first reading |
Engagement
18 posts held, back to 13 February 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 42.7%
- avg views ÷ 231 subscribers
- Avg views / post
- 98.7
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 18 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 18 (13 February 2026 – 4 August 2026) |
| Views total | 296 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 10:15 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 43
- Videos
- 9
- Links
- 8
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 11m 24s
- Average length
- 1m 38s
Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
129 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 84.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 109 | 84.5% | |
| 👎 | 20 | 15.5% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 15 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 129reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 13 February 2026 to 4 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
گفتوگویی با سنت جامعهشناسی @mikhsociology
He was once a fierce opponent of the Islamic Republic. Today, he says Ayatollah Khamenei made Iran stronger. Here's why he changed his mind. 🩸 Every debt will be paid. 🗡 @One_VENGEANCE_FOR_ALL
کشور در جنگ نه تنها گذار سیاسی را تجربه نکرد بلکه نظام خودش را تثبیت کرد علیرضا اسکندری نژاد جامعهشناس در «فرهیختگان گپ»: 🔻 وقتی حوادث یک سال اخیر را مشاهده میکنیم میبینیم این غلیان جمعیت تموم نشده، غلیان جمعیتی که جامعه شناسان میگویند خیلی نادر اتفاق میافتد و در یک کشور بعید است بیشتر از یک بار آن هم در طول یک قرن رخ بدهد. 🔻 در یک هفته اول جنگ خیلی از ما آماده بودیم که شاهد یک گذار سیاسی باشیم اما علیرغم همه…
👍1
🔻روشنفکری، ایران و مسئولیت پذیری 🔻 بیژن عبدالکریمی و علیرضا اسکندری نژاد در قسمت ۱۴۳ «فرهیختگان گپ» تشییع عظیم میلیونی رهبر شهید را از منظر جامعهشناختی و سرمایه اجتماعی مورد بررسی قرار دادند. ⭕ ویدیو کامل در یوتیوب | آپارات | سایت #فرهیختگان_گپ کاری از مجله تصویری فرهیختگان @FarhikhteganMag
👍2
نظامهای سیاسی هیچوقت در اوج صلابت برای تغییرشون رفراندوم برگزار نمیکنن.
👍4👎1
من هم با شما موافقم، نمیشه از مفهوم رفراندوم استفاده کرد. این پدیده بسیار عظیمتر از رفراندوم است.
👍4
خطاب به اهالی علوم انسانی، خصوصاً جامعهشناسان: اگه دربارهی این روز بزرگ سکوت کردید، دربارهی بقیهی پدیدههای اجتماعی هم سکوت کنید
👍17👎3
🎥فیلم I Swear یکی از مهمترین رسالتها و کارکردهای سینما -که این روزها تقریباً فراموش شده- افزایش دانش و معرفت نسبت به موضوعاتیه که ازشون بیاطلاعیم. من، تمام عمرم، به افرادی که بیدلیل وسط خیابون فریاد میکشیدن و فحش میدادن به چشم دیوونه نگاه میکردم و مطمئنم که اکثر افراد هم مثل من بودن و هستن. کمترین کاری که I Swear انجام داده، افزایش معرفت نسبت به یک بیماری عصبی تحت عنوان سندروم تورته، بیماریای که موجب میشه تا…
👍1
ناصر فکوهی؛ فقیر در فهم معنا و توانمند در موجسواری رسانهای طی روزهای گذشته، ناصر فکوهی، استاد بازنشستهی انسانشناسی دانشگاه تهران، با انتشار یادداشتی تحت عنوان «دعوت به مراسم گردنزنی: ابتذال خشونت به زبان یک فیلسوف» به نقد برشی از سخنان بیژن عبدالکریمی در تقبیح روشنفکران ایرانی بیتوجه به مخاطرات ژئوپولیتیک، پرداخته است. با وجود هجمههای اخیر به این سخنان، حضور ناصر فکوهی در این صحنه بهعنوان چهرهای دانشگاهی صا…
👍2
🎥فیلم Project Hail Mary هیچ. مطلقاً چیزی برای ارائه نداشت. تعجب میکنم که اینچنین کانون توجه و استقبال تماشاگران در سرتاسر جهان قرار گرفته. جزو معدود فیلمهایی بود که نتونستم پشت سر هم ببینم و تمومش کنم. تماشاش سه شب طول کشید. ریتم کند و ملالآور، داستان و پیرنگ تکراری بهشدت حوصله رو سر میبره. #فیلم @mikhsociology
از بلاتکلیفی بیشتر از بمب میترسم ✍️ علیرضا اسکندرینژاد روزهای دشواری را سپری میکنیم؛ نه شور و حرارت دوران جنگ را داریم و نه آسودگیِ خاطر برای زیستن در صلح. درگیر برزخ بزرگی هستیم. همهچیز شبیه روزهای پس از جنگِ پیشین است؛ همه منتظر و پادرهوا هستند. جامعه به معنای واقعی کلمه معلق است. بسیاری دلودماغی برای آغاز کسبوکارشان ندارند و منتظرند تا ببینند چه میشود. راستش را بخواهید، من هم منتظرم. بارها گفتهام و باز ه…
👍6👎1
Showing the 12 most recent of 18 posts we hold for @mikhsociology. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this entry's latest reading, not the date you are reading this.
“میخ (ریشهدار شدن)” (@mikhsociology), 231 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/mikhsociology.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.